Jet Global

AUGUST 4, 2022

End-user self-service was ranked 7th out of 51 technologies and initiatives, which were rated against strategic importance to business intelligence. Enhancements to visualizations to improve speed, visual optimization, and ease of use. Redesigned data authoring capabilities for a more user-friendly interface.

Marketing 52

Marketing Business Intelligence Visualization Dashboards 52

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Sales 141

Sales Big Data Marketing Software 141

Sisense

APRIL 2, 2020

Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. SQL Cheat Sheet & Query Syntax.

Data Warehouse 83

Data Warehouse Big Data Testing Software 83

Sisense

OCTOBER 11, 2021

But generations of technological innovation (better data visualizations, cloud analytics, and self-service tools) plus the rise of analytics-focused cultures in workplaces have failed to deliver on the many promises analytics hold; analytics adoption among in-house workforces remains stalled at around 30%.

Analytics 52

Analytics Software Data-driven Strategy 52

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. SaaS companies are no exception. It also helps improve marketing.

Modeling 99

Modeling Analytics Sales Key Performance Indicator 99

Domino Data Lab

JULY 28, 2021

It is highly valued by organizations as they strive to remain competitive, increase revenues and delight customers because data scientists are able to coax insight on how to improve decision making by the business out of the vast stores of data created by the business. Common examples include creating customer segments and anomaly detection.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

AWS Big Data

JANUARY 24, 2023

Event-driven model Event-driven applications are increasingly popular among customers. Analytical reporting web applications can be implemented through an event-driven model. Cost optimization The AWS services that the CloudFormation templates provision in this solution are all serverless.

Analytics 58

Analytics Data-driven Management Reporting 58

Cloudera

AUGUST 28, 2018

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences. ” – Cornelia Levy-Bencheton.

Digital Transformation 65

Digital Transformation Machine Learning Consulting IoT 65

IBM Big Data Hub

APRIL 15, 2024

Despite heavy investments in databases and technology, many companies struggle to extract further value from their data. Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives.

Analytics 64

Analytics Optimization Data-driven Metrics 64

FineReport

APRIL 21, 2024

In summary, embedded analytics refers to actionable intelligence seamlessly integrated into customer-facing products, applications, or services. Overall, Power BI boosts productivity, particularly for users familiar with Microsoft technologies. Sisense Sisense redefines BI by embedding analytics into applications.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Occam's Razor

FEBRUARY 7, 2011

Alex Cohen: How to optimize with sparse data! If there is not budget or time or staffing then you might be hitting your head against a brick wall and sometimes recognizing that this is a waste of time and waking away is the most optimal thing to do. An informed customer that trusts your website is always better. or non-U.S.),

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

DataRobot Blog

NOVEMBER 8, 2022

AI in Customer Analytics: Tapping Your Data for Success. Driving effectiveness by recommending how to improve incremental return in existing channels and partners through optimization. The third area is macro + media analytics, which expands to position Mindshare as an extension of our clients as a business partner.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) And Manufacturing and Technology, both 11.6 The Hitchhiker’s Guide to Embedded Analytics Download Now Section 2: Embedded Analytics: No Longer a Want but a Need Find out how major shifts in technology are driving the need for embedded analytics.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

JANUARY 19, 2024

2023 was a big year for developers, with technology taking huge leaps forward in new and exciting areas like AI. With this new unlocked potential, advanced analytics jumped back to the top of the capability wish list for many technology buyers. Upgrades in 2023 made Logi Composer better and brighter.

Analytics 52

Analytics Dashboards Visualization Data-driven 52